Deep Learning

Deep learning, a subfield of machine learning, focuses on training artificial neural networks with multiple layers to extract complex patterns from data. Current research emphasizes improving model robustness against noisy or adversarial inputs, exploring efficient architectures like Vision Transformers and convolutional LSTMs for various tasks (e.g., image classification, time series forecasting), and integrating physics-informed approaches for enhanced interpretability and reliability. These advancements are significantly impacting diverse fields, from automated industrial inspection and medical image analysis to improved weather forecasting and more efficient content moderation systems.

Papers

November 20, 2023

Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning
Mounia Hamidouche, Eugeny Popko, Bassem Ouni
Deep Learning Machine Learning Internet of Thing Internet of Thing Network IOT Technology Network Traffic Late Time Transition
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks
Namid R. Stillman, Rory Baggott, Justin Lyon, Jianfei Zhang, Dingqiu Zhu, Tao Chen, Perukrishnen Vytelingum
Deep Learning Network Programming Agent Based Model Parameter Space Market Simulator Neural Density
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
Xiaoping Zheng, Bert Otten, Michiel F Reneman, Claudine JC Lamoth
Deep Learning Deep Learning Model Time Series Gait Analysis Gait Impairment SHAP Score
CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback
Chong Li, Zhun Fan, Ying Chen, Huibiao Lin, Laura Moretti, Giuseppe Loprencipe, Weihua Sheng, Kelvin C. P. Wang
Deep Learning Generative Adversarial Network Closed Loop Crack Detection Pavement Crack
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning
Jiménez-López, Daniel, Rodríguez-Barroso, Nuria, Luzón, M. Victoria, Herrera, Francisco
Deep Learning Deep Learning Model Differential Privacy Speech Presence Balancing Weight Private Stochastic Gradient Descent Differential Privacy SGD Secure Deep
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
Chi-en Amy Tai, Elizabeth Janes, Chris Czarnecki, Alexander Wong
Deep Learning Human Attention Skin Lesion Skin Cancer Skin Cancer Detection Melanoma Classification Attention Condenser
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
Maëlys Solal, Ravi Hassanaly, Ninon Burgos
Deep Learning Anomaly Detection Unsupervised Anomaly Detection Non Pathological Variability Pseudo Healthy Reconstruction Natural Thresholding
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm
P. Kalaiselvi, S. Anusuya
Deep Learning Convolutional Neural Network Attention Mechanism Liver Tumor Depth Based Variant Search Algorithm

November 19, 2023

Tensor-Aware Energy Accounting
Timur Babakol, Yu David Liu
Deep Learning Tensorflow Probability Tensor Optimization
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shi-Ju Ran, Gang Su
Deep Learning Quantum Computer Tensor Network Quantum Inspired Machine Learning

November 18, 2023

Bayesian Neural Networks: A Min-Max Game Framework
Junping Hong, Ercan Engin Kuruoglu
Deep Learning Deep Neural Network Bayesian Neural Network Complex Deep Deterministic Neural Network Min Max Game

November 17, 2023

Multi-delay arterial spin-labeled perfusion estimation with biophysics simulation and deep learning
Renjiu Hu, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Deep Learning Vascular Network Perfusion Parameter
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
Jinyung Hong, Theodore P. Pavlic
Deep Learning Manifold Learning Class Manifold Brain Inspired Hash Learning Sensitive Hashing
Deep Residual CNN for Multi-Class Chest Infection Diagnosis
Ryan Donghan Kwon, Dohyun Lim, Yoonha Lee, Seung Won Lee
Deep Learning Chest X Ray Image Disease Detection Model Residual Convolutional Neural Network
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask
R. Chinnaiyan, Iyyappan M, Al Raiyan Shariff A, Kondaveeti Sai, Mallikarjunaiah B M, P Bharath
Deep Learning Convolutional Neural Network Classification Code Data Detection CNN Model Face Mask
Enhancing Student Engagement in Online Learning through Facial Expression Analysis and Complex Emotion Recognition using Deep Learning
Rekha R Nair, Tina Babu, Pavithra K
Deep Learning Facial Expression Online Learning Experienced Emotion Human Emotion Student Engagement Facial Expression Analysis Complex Facial Expression Recognition
TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning
Alireza Bagheri Rajeoni, Breanna Pederson, Ali Firooz, Hamed Abdollahi, Andrew K. Smith, Daniel G. Clair, Susan M. Lessner, Homayoun Valafar
Deep Learning Deep Learning Model Automatic Segmentation

Deep Learning

Papers

Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning

Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks

Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration

CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning

Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images

Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET

Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm

Tensor-Aware Energy Accounting

Tensor networks for interpretable and efficient quantum-inspired machine learning

Bayesian Neural Networks: A Min-Max Game Framework

Multi-delay arterial spin-labeled perfusion estimation with biophysics simulation and deep learning

Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks

Deep Residual CNN for Multi-Class Chest Infection Diagnosis

Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask

Enhancing Student Engagement in Online Learning through Facial Expression Analysis and Complex Emotion Recognition using Deep Learning

TransONet: Automatic Segmentation of Vasculature in Computed Tomographic Angiograms Using Deep Learning

Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey

Trustworthy Large Models in Vision: A Survey

Zenkai -- Framework For Exploring Beyond Backpropagation